DocumentCode :
2251271
Title :
Block-based attractor coding: potential and comparison to vector quantization
Author :
Ramstad, Tor A. ; Lepsoy, Skjalg
Author_Institution :
Dept. of Telecommun., Norwegian Inst. of Technol., Trondheim, Norway
fYear :
1993
fDate :
1-3 Nov 1993
Firstpage :
1504
Abstract :
The paper presents a simple fractal or attractor coder model that has a very fast decoding algorithm and lends itself to comparisons with vector quantization (VQ) of the mean-gain-shape (MGSVQ) type. In fractal theory the transmission of the codebook is somewhat concealed. In our simple model the codebook is explicitly transmitted although with a double role. The main difference between MGSVQ and the fractal coder is that the codebook in MSGV is as statistically optimized from a set of training data whereas it is derived directly from the image to be coded for the fractal coder, and therefore can be viewed as adaptive. Experimental comparisons are given
Keywords :
decoding; fractals; image coding; vector quantisation; MGSVQ; VQ; adaptive codebook; attractor coder model; block-based attractor coding; codebook transmission; fast decoding algorithm; fractal coder; fractal theory; image coding; mean-gain-shape VQ; training data; vector quantization; Block codes; Books; Decoding; Fractals; Image coding; Image reconstruction; Nonlinear distortion; Paper technology; Pixel; Training data; Vector quantization;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Signals, Systems and Computers, 1993. 1993 Conference Record of The Twenty-Seventh Asilomar Conference on
Conference_Location :
Pacific Grove, CA
ISSN :
1058-6393
Print_ISBN :
0-8186-4120-7
Type :
conf
DOI :
10.1109/ACSSC.1993.342362
Filename :
342362
Link To Document :
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